Natural Language Processing (NLP)
Natural Language Processing (NLP) and Ghostwriter AI™ semantics
We teach machines how to understand people's needs
We teach machines how to understand people's needs
Unstructured data such as documents, data from social networks and the web, emails, phone calls and dialogues via other channels such as chat are the input.
The unique Ghostwriter AI™ engine developed by You Are My Guide applies different techniques to process the input data, depending on the business objectives. These range from parsing, entity extraction, speech analysis of phone calls, anomaly detection, pattern recognition and sentiment analysis.
The output solutions best suited to business needs are analysis of customers and their conversations, market analysis, competitive analysis, semantic research, virtual assistants, data enrichment.
Semantics is the way we give meaning to our words, which differs from language to language and from culture to culture.
Semantics is like a linguistic fingerprint, words and speech patterns that tell who we are and where we come from.
Analysing words and contexts allows us to understand people and better understand how to interact with them.
Natural Language Processing (NLP) algorithms process data by unpacking sentences.
Natural Language Understanding (NLU) algorithms understand people’s words and requests.
Natural Language Generation (NLG) algorithms generate an appropriate response to what has been understood based also on the detected sentiment, context and associated meaning.